Command Intelligence predicts relevant CATIA commands based on context and user intent. It reduces time spent searching menus, supports consistent methods, and helps engineers work more efficiently from the start.
Bring products to market up to 4 times faster*
Improve reuse of components by up to 80%*
Cut warranty costs by 10%*
Explore thousands of design alternatives in minutes
Capabilities That Drive Results
Discover how 3DEXPERIENCE CATIA supports engineering work with AI-powered capabilities that improve accuracy, speed up workflows, and help teams create better models with less manual effort.
Interested? Read more in-depth information about the AI functions that enhance 3D modelling workflows.
Engineering for complex products
Modern products involve many constraints across performance, manufacturing, compliance, and sustainability. 3DEXPERIENCE CATIA helps manage this complexity by keeping engineering models structured and connected as designs evolve.
Engineering for smarter decisions
3DEXPERIENCE CATIA supports earlier evaluation of trade-offs and more consistent decision-making across disciplines, from concept development through detailed engineering.
What's New in CATIA R2026x
Discover the latest advancements in CATIA R2026x, where AI-driven design, advanced simulation, and Virtual Twin technology come together to unleash a new Space of Possibilities for your engineering workflows.
Explore more design options
CATIA uses generative design to create and evaluate a wide range of concept alternatives. Engineers can assess structural performance, weight, and manufacturability early, supporting innovation without compromising safety.
Automate core engineering tasks
AI-driven features such as contextual command suggestions and geometry analysis reduce repetitive modeling work. This frees up time for engineering judgment and problem-solving in mission-critical systems.
AI-assisted design for complex systems
Context-aware command intelligence supports engineers by predicting next actions and reducing repetitive modeling steps. This accelerates model creation and helps teams focus on system-level design decisions.
Explore optimal configurations
Generative design supports lightweighting, structural efficiency, and multi-material use. Engineers can evaluate configurations early to balance performance, efficiency, and compliance requirements.
Intelligent shape optimization
Generative AI evaluates functional and regulatory requirements to propose optimized geometries. This supports ergonomics, biocompatibility, and manufacturability while meeting strict clinical and quality standards.
Automated constraint handling
AI-driven constraint tools automate sketch and design constraint creation. This reduces manual effort, improves accuracy, and ensures consistent design intent across iterations.
Boost productivity
AI tools automate repetitive and time-consuming modeling tasks, allowing engineers to focus on higher-value engineering work, innovation, and problem solving.
Strength through optimization
Generative AI helps balance structural integrity with manufacturing cost, enabling equipment designs that are rugged, efficient, and optimized for real-world operating conditions.
Olivier Sappin
CEO CATIA, DASSAULT SYSTÈMES
"3D UNIV+RSES and AI will profoundly transform engineering work.”
- AI and virtual companions enable engineers to be more creative, productive & efficient
- Companies need to invest in core engineering from the concept stage
- Virtual twin technology is key to staying competitive in the market
